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Existing between small businesses and major corporations, mid-market enterprises are faced with the challenge of scaling for long-term growth. High-quality data is the driver for modern business expansion, but it can be difficult to find the right mix of enterprise data management tools. With its artificial intelligence (AI)-assisted, modular system, PLEXI offers a data engineering & estate governance software package designed to support mid-market enterprises.
The founder behind PLEXI
With more than 25 years of experience in delivery of enterprise data infrastructure and data warehousing solutions, Alex Chianuri is a notable figure in his field. In 2013, Alex leveraged his experience to found Plexifact, a specialized data systems architecture engineering firm that has grown to serve over a dozen high-profile clients. In 2023, Plexifact commercialized PLEXI, a self-serve data engineering and operations platform.
Addressing a major gap in the market
At its core, PLEXI targets a critical market failure: 70% of enterprise data projects fail due to technical complexity and resource constraints. The AI-powered Converged Data Management Platform – a nascent/emerging category of data management software – changes how mid-market companies build and operate data platforms, designed to deliver enterprise-grade results with reduced cost and time compared to traditional implementations.
PLEXI has built complete data platforms and technology stacks for 20 organizations, from seed-stage startups to multi-billion-dollar wealth management firms. To accomplish this, the brand leverages deep domain expertise across financial services, healthcare, and fintech sectors.
A market’s problems and PLEXI’s solutions
The first issue PLEXI addresses is long development cycles. Bringing a data platform online typically takes somewhere between 18 and 36 months, and building data pipelines can take weeks or months of custom development. PLEXI reports typical implementation times of three to six months, while its AI systems build pipelines and data models automatically.
“Our AI understands when you say, ‘integrate invoice tracking data from my accounting system into my warehouse and correlate it with operational data from my order management system,’” a company representative said. “It automatically connects your systems, builds the pipelines, and delivers answers.”
Secondly, PLEXI tackles high total costs. Data implementation costs can be measured in the millions, ranging from $3 million to $5 million for large-scale projects. Data teams spend up to 80% of their time on data preparation, maintenance, and troubleshooting. In the end, only about 30% of these projects will even succeed. According to internal PLEXI data, the average cost is about $400,000 over three years, with an internally estimated success rate of 85%. At the same time, it addresses data quality issues, which cost organizations between 15% and 25% of revenue annually.
Finally, PLEXI aims to streamline the toolset and put data governance at the forefront, despite its technical complexity. The brand helps businesses meet regulatory requirements without burdening teams with extensive documentation and manual controls.
PLEXI as a solution
“The companies winning at data aren’t the ones with the most engineers,” Alex Chianuri stated in a post to LinkedIn. “They’re the ones who automated their way out of manual data onboarding entirely.”
PLEXI positions itself as a way for mid-market enterprises to reduce integration time, costs, and complexity. In an industry projected to reach well over $220 billion by 2030, PLEXI’s growth is certain to help countless businesses achieve their long-term goals quickly and efficiently.
